Index A | C | E | F | G | I | L | M | P | R | S | T | W | X | Y A accuracy (artificial_dataset.ClassifierMetrics property) add_collective_anomaly() (in module artificial_dataset) add_dropout() (in module artificial_dataset) add_level_shift() (in module artificial_dataset) add_point_anomalies() (in module artificial_dataset) add_seasonal_distortion() (in module artificial_dataset) add_spike_anomalies() (in module artificial_dataset) add_trend_change() (in module artificial_dataset) add_variance_change() (in module artificial_dataset) amplitude_range (artificial_dataset.SpikeParams attribute) anomalies (artificial_dataset.SyntheticSeries attribute) anomaly_summary() (in module artificial_dataset) anomaly_type (artificial_dataset.SyntheticSeries attribute) AnomalyDataset (class in artificial_dataset) AnomalySplits (class in artificial_dataset) artificial_dataset module C ClassifierMetrics (class in artificial_dataset) compose() (in module artificial_dataset) compose_weighted() (in module artificial_dataset) confusion_matrix (artificial_dataset.ClassifierMetrics property) constant() (in module artificial_dataset) count_range (artificial_dataset.SpikeParams attribute) E exponential() (in module artificial_dataset) F f1_score (artificial_dataset.ClassifierMetrics property) from_anomaly_indices() (artificial_dataset.ClassifierMetrics class method) G gaussian_noise() (in module artificial_dataset) I is_anomaly (artificial_dataset.SyntheticSeries attribute) L label (artificial_dataset.SyntheticSeries property) labels (artificial_dataset.AnomalyDataset attribute) linear() (in module artificial_dataset) logarithmic() (in module artificial_dataset) M make_anomaly_dataset() (in module artificial_dataset) make_classification() (in module artificial_dataset) make_series() (in module artificial_dataset) margin (artificial_dataset.SpikeParams attribute) meta (artificial_dataset.SyntheticSeries attribute) module artificial_dataset P peak_indices (artificial_dataset.AnomalyDataset attribute) periodic_seasonal() (in module artificial_dataset) pipe() (artificial_dataset.SyntheticSeries method) plot_series() (in module artificial_dataset) polynomial() (in module artificial_dataset) precision (artificial_dataset.ClassifierMetrics property) R recall (artificial_dataset.ClassifierMetrics property) S save_series() (in module artificial_dataset) sinusoidal() (in module artificial_dataset) SpikeParams (class in artificial_dataset) split() (artificial_dataset.AnomalyDataset method) (artificial_dataset.SyntheticSeries method) SyntheticSeries (class in artificial_dataset) SyntheticSeriesSplits (class in artificial_dataset) T t (artificial_dataset.AnomalyDataset attribute) W width_range (artificial_dataset.SpikeParams attribute) X x (artificial_dataset.SyntheticSeries attribute) Y y (artificial_dataset.AnomalyDataset attribute) (artificial_dataset.SyntheticSeries attribute)